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videomae-finetuned-v2
Siccimo/videomae-finetuned-v2
videomae-finetuned-v2 is a video classification model from Siccimo. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Jul 26, 2024
- Updated
- Jul 27, 2024
- SHA
- af475a2d
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
videomae-finetuned-v2
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4511
- Accuracy: 0.825
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 90
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.0556 | 5 | 0.6644 | 0.52 |
| 0.649 | 1.0556 | 10 | 0.5890 | 0.68 |
| 0.649 | 2.0556 | 15 | 0.6915 | 0.48 |
| 0.5368 | 3.0556 | 20 | 0.5428 | 0.48 |
| 0.5368 | 4.0556 | 25 | 0.2507 | 0.92 |
| 0.3519 | 5.0556 | 30 | 0.6503 | 0.68 |
| 0.3519 | 6.0556 | 35 | 0.6544 | 0.68 |
| 0.4579 | 7.0556 | 40 | 0.2332 | 0.92 |
| 0.4579 | 8.0556 | 45 | 0.4506 | 0.88 |
| 0.3166 | 9.0556 | 50 | 0.2587 | 0.88 |
| 0.3166 | 10.0556 | 55 | 0.1353 | 0.92 |
| 0.2761 | 11.0556 | 60 | 0.3067 | 0.92 |
| 0.2761 | 12.0556 | 65 | 0.4782 | 0.84 |
| 0.2316 | 13.0556 | 70 | 0.3868 | 0.84 |
| 0.2316 | 14.0556 | 75 | 0.3565 | 0.88 |
| 0.173 | 15.0556 | 80 | 0.3623 | 0.92 |
| 0.173 | 16.0556 | 85 | 0.2870 | 0.92 |
| 0.1488 | 17.0556 | 90 | 0.2836 | 0.92 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jul 26, 2024
- Updated
- Jul 27, 2024